A new way to train AI systems could keep them safer from hackers

Deep-learning-based methods for different applications have been shown
vulnerable to adversarial examples. These examples make deployment of such
models in safety-critical tasks questionable. Use of deep neural networks as
inverse problem solvers has gene… Read more

Similar

The Shift from Models to Compound AI Systems

AI caught everyone’s attention in 2023 with Large Language Models (LLMs) that can be instructed to perform general tasks, such as translation or coding, just by prompting. This naturally led to an intense focus on models as the primary ingredient in AI ap... (more…)

Read more »